Tutor Perini (TPC) Long-Term Debt Repayments (2011 - 2026)
Tutor Perini (TPC) posted Long-Term Debt Repayments of $3.67 million for Q2 2026, down 96.8% from $115.37 million a year earlier and down 61.6% from the prior quarter.
Tutor Perini (TPC) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Tutor Perini was $27.35 million, down 95.8% year-over-year; for FY2025, it came in at $318.97 million, down 72.1% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -22.2% (FY2020 to FY2025).
- In prior years, Tutor Perini's Long-Term Debt Repayments was $1.14 billion in FY2024 (+47.5%), $774 million in FY2023 (+5.7%), $732.1 million in FY2022 (-5.9%) and $777.76 million in FY2021 (-30.5%).
- The Q2 2026 figure stands as the lowest quarterly Long-Term Debt Repayments since Q2 2011.
- On a year-over-year basis, Long-Term Debt Repayments has declined in each of the last five quarters, with an average decline of 63.4% over the last seven quarters.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q1 2022, with growth of 263.3%; the weakest was Q4 2025, with a decline of 97.7%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $9.56 million (Q1 2026), $6.76 million (Q4 2025) and $7.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 92.79 Bn | 90.87 Bn | 1.55 Bn | 17.83 Bn |
| 2 | Ferrovial | 35.38 Bn | 13.63 Bn | - | - |
| 3 | Emcor | 31.89 Bn | 28.28 Bn | 1.02 Bn | 681,000.00 |
| 4 | Jacobs Solutions | 16.27 Bn | 10.94 Bn | 810.70 Mn | 710.00 Mn |
| 5 | Mastec | 14.89 Bn | 13.67 Bn | 556.28 Mn | 1.69 Bn |
| 6 | Sterling Infrastructure | 12.96 Bn | 11.29 Bn | 289.96 Mn | 3.78 Mn |
| 7 | IES Holdings | 9.98 Bn | 8.84 Bn | 340.66 Mn | 138.36 Mn |
| 8 | Stantec | 7.83 Bn | 6.75 Bn | 1.36 Bn | -72.29 Mn |
| 9 | Aecom | 7.47 Bn | 2.59 Bn | -34.04 Mn | 1.43 Bn |
| 10 | Tutor Perini | 4.12 Bn | 21.68 Mn | 211.28 Mn | 3.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.67 Mn |
| Mar 31, 2026 | 9.56 Mn |
| Dec 31, 2025 | 6.76 Mn |
| Sep 30, 2025 | 7.35 Mn |
| Jun 30, 2025 | 115.37 Mn |
| Mar 31, 2025 | 189.49 Mn |
| Dec 31, 2024 | 299.64 Mn |
| Sep 30, 2024 | 41.31 Mn |
| Jun 30, 2024 | 700.63 Mn |
| Mar 31, 2024 | 100.19 Mn |
| Dec 31, 2023 | 15.53 Mn |
| Sep 30, 2023 | 187.14 Mn |
| Jun 30, 2023 | 333.23 Mn |
| Mar 31, 2023 | 238.10 Mn |
| Dec 31, 2022 | 198.65 Mn |
| Sep 30, 2022 | 94.22 Mn |
| Jun 30, 2022 | 163.33 Mn |
| Mar 31, 2022 | 275.91 Mn |
| Dec 31, 2021 | 267.62 Mn |
| Sep 30, 2021 | 143.14 Mn |
Tutor Perini Long-Term Debt Repayments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=TPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "TPC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=TPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();